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Zihan Wang 0001
Person information
- affiliation: University of California, San Diego, CA, USA
- affiliation (former): University of Illinois Urbana Champaign, IL, USA
Other persons with the same name
- Zihan Wang (aka: Zi-Han Wang) — disambiguation page
- Zihan Wang 0002
— Shandong University, Qingdao, China
- Zihan Wang 0003 — Beijing University of Technology, Beijing, China
- Zihan Wang 0004
- Zihan Wang 0005 — Shenzhen University, China
- Zihan Wang 0006 — Columbia University, New York City, NY, USA
- Zihan Wang 0007
- Zihan Wang 0008 — Carnegie Mellon University, Robotics Institute, Pittsburgh, PA, USA
- Zihan Wang 0009
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2020 – today
- 2024
- [c23]Letian Peng, Yuwei Zhang, Zilong Wang, Jayanth Srinivasa, Gaowen Liu, Zihan Wang, Jingbo Shang:
Answer is All You Need: Instruction-following Text Embedding via Answering the Question. ACL (1) 2024: 459-477 - [c22]Chenyang An, Zhibo Chen, Qihao Ye, Emily First, Letian Peng, Jiayun Zhang, Zihan Wang, Sorin Lerner, Jingbo Shang:
Learn from Failure: Fine-tuning LLMs with Trial-and-Error Data for Intuitionistic Propositional Logic Proving. ACL (1) 2024: 776-790 - [c21]Shang Zhou, Feng Yao, Chengyu Dong, Zihan Wang, Jingbo Shang:
Evaluating the Smooth Control of Attribute Intensity in Text Generation with LLMs. ACL (Findings) 2024: 4348-4362 - [c20]Xingyao Wang, Zihan Wang, Jiateng Liu, Yangyi Chen, Lifan Yuan, Hao Peng, Heng Ji:
MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language Feedback. ICLR 2024 - [c19]Jiayun Zhang
How Few Davids Improve One Goliath: Federated Learning in Resource-Skewed Edge Computing Environments. WWW 2024: 2976-2985 - [i28]Zihan Wang, Yunxuan Li, Yuexin Wu, Liangchen Luo, Le Hou, Hongkun Yu, Jingbo Shang:
Multi-step Problem Solving Through a Verifier: An Empirical Analysis on Model-induced Process Supervision. CoRR abs/2402.02658 (2024) - [i27]Letian Peng, Yuwei Zhang, Zilong Wang, Jayanth Srinivasa, Gaowen Liu, Zihan Wang, Jingbo Shang:
Answer is All You Need: Instruction-following Text Embedding via Answering the Question. CoRR abs/2402.09642 (2024) - [i26]Letian Peng, Zilong Wang, Feng Yao, Zihan Wang, Jingbo Shang:
MetaIE: Distilling a Meta Model from LLM for All Kinds of Information Extraction Tasks. CoRR abs/2404.00457 (2024) - [i25]Chenyang An, Zhibo Chen, Qihao Ye, Emily First, Letian Peng, Jiayun Zhang, Zihan Wang, Sorin Lerner, Jingbo Shang:
Learn from Failure: Fine-Tuning LLMs with Trial-and-Error Data for Intuitionistic Propositional Logic Proving. CoRR abs/2404.07382 (2024) - [i24]Shang Zhou, Feng Yao, Chengyu Dong, Zihan Wang, Jingbo Shang:
Evaluating the Smooth Control of Attribute Intensity in Text Generation with LLMs. CoRR abs/2406.04460 (2024) - [i23]Letian Peng, Yi Gu, Chengyu Dong, Zihan Wang, Jingbo Shang:
Text Grafting: Near-Distribution Weak Supervision for Minority Classes in Text Classification. CoRR abs/2406.11115 (2024) - 2023
- [c18]Zihan Wang, Tianle Wang, Dheeraj Mekala, Jingbo Shang:
A Benchmark on Extremely Weakly Supervised Text Classification: Reconcile Seed Matching and Prompting Approaches. ACL (Findings) 2023: 3944-3962 - [c17]Tianle Wang
WOT-Class: Weakly Supervised Open-world Text Classification. CIKM 2023: 2666-2675 - [c16]Chengyu Dong, Zihan Wang, Jingbo Shang:
Debiasing Made State-of-the-art: Revisiting the Simple Seed-based Weak Supervision for Text Classification. EMNLP 2023: 483-493 - [c15]Zi Lin, Zihan Wang, Yongqi Tong, Yangkun Wang, Yuxin Guo, Yujia Wang, Jingbo Shang:
ToxicChat: Unveiling Hidden Challenges of Toxicity Detection in Real-World User-AI Conversation. EMNLP (Findings) 2023: 4694-4702 - [c14]Zihan Wang, Jingbo Shang, Ruiqi Zhong:
Goal-Driven Explainable Clustering via Language Descriptions. EMNLP 2023: 10626-10649 - [c13]Letian Peng, Zihan Wang, Jingbo Shang:
Less than One-shot: Named Entity Recognition via Extremely Weak Supervision. EMNLP (Findings) 2023: 13603-13616 - [c12]Yuwei Zhang, Zihan Wang, Jingbo Shang:
ClusterLLM: Large Language Models as a Guide for Text Clustering. EMNLP 2023: 13903-13920 - [c11]Yufan Zhuang, Zihan Wang, Fangbo Tao, Jingbo Shang:
WavSpA: Wavelet Space Attention for Boosting Transformers' Long Sequence Learning Ability. UniReps 2023: 27-46 - [i22]Tianle Wang
WOT-Class: Weakly Supervised Open-world Text Classification. CoRR abs/2305.12401 (2023) - [i21]Zihan Wang, Tianle Wang, Dheeraj Mekala, Jingbo Shang:
A Benchmark on Extremely Weakly Supervised Text Classification: Reconcile Seed Matching and Prompting Approaches. CoRR abs/2305.12749 (2023) - [i20]Zihan Wang, Jingbo Shang, Ruiqi Zhong:
Goal-Driven Explainable Clustering via Language Descriptions. CoRR abs/2305.13749 (2023) - [i19]Chengyu Dong, Zihan Wang, Jingbo Shang:
Debiasing Made State-of-the-art: Revisiting the Simple Seed-based Weak Supervision for Text Classification. CoRR abs/2305.14794 (2023) - [i18]Yuwei Zhang, Zihan Wang, Jingbo Shang:
ClusterLLM: Large Language Models as a Guide for Text Clustering. CoRR abs/2305.14871 (2023) - [i17]Xingyao Wang, Zihan Wang, Jiateng Liu, Yangyi Chen, Lifan Yuan, Hao Peng, Heng Ji:
MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language Feedback. CoRR abs/2309.10691 (2023) - [i16]An Yan, Yu Wang, Yiwu Zhong, Zexue He, Petros Karypis, Zihan Wang, Chengyu Dong, Amilcare Gentili, Chun-Nan Hsu, Jingbo Shang, Julian J. McAuley:
Robust and Interpretable Medical Image Classifiers via Concept Bottleneck Models. CoRR abs/2310.03182 (2023) - [i15]Xiaohan Fu, Zihan Wang, Shuheng Li, Rajesh K. Gupta, Niloofar Mireshghallah, Taylor Berg-Kirkpatrick, Earlence Fernandes:
Misusing Tools in Large Language Models With Visual Adversarial Examples. CoRR abs/2310.03185 (2023) - [i14]Zi Lin, Zihan Wang, Yongqi Tong, Yangkun Wang, Yuxin Guo, Yujia Wang, Jingbo Shang:
ToxicChat: Unveiling Hidden Challenges of Toxicity Detection in Real-World User-AI Conversation. CoRR abs/2310.17389 (2023) - [i13]Letian Peng, Zilong Wang, Hang Liu, Zihan Wang, Jingbo Shang:
EmojiLM: Modeling the New Emoji Language. CoRR abs/2311.01751 (2023) - [i12]Letian Peng, Zihan Wang, Jingbo Shang:
Less than One-shot: Named Entity Recognition via Extremely Weak Supervision. CoRR abs/2311.02861 (2023) - 2022
- [c10]Zihan Wang, Jiuxiang Gu, Jason Kuen, Handong Zhao, Vlad I. Morariu, Ruiyi Zhang, Ani Nenkova, Tong Sun, Jingbo Shang:
Learning Adaptive Axis Attentions in Fine-tuning: Beyond Fixed Sparse Attention Patterns. ACL (Findings) 2022: 916-925 - [c9]Zihan Wang, Kewen Zhao, Zilong Wang, Jingbo Shang:
Formulating Few-shot Fine-tuning Towards Language Model Pre-training: A Pilot Study on Named Entity Recognition. EMNLP (Findings) 2022: 3186-3199 - [c8]Lesheng Jin, Zihan Wang, Jingbo Shang:
WeDef: Weakly Supervised Backdoor Defense for Text Classification. EMNLP 2022: 11614-11626 - [i11]Zihan Wang, Kewen Zhao, Zilong Wang, Jingbo Shang:
Formulating Few-shot Fine-tuning Towards Language Model Pre-training: A Pilot Study on Named Entity Recognition. CoRR abs/2205.11799 (2022) - [i10]Lesheng Jin, Zihan Wang, Jingbo Shang:
WeDef: Weakly Supervised Backdoor Defense for Text Classification. CoRR abs/2205.11803 (2022) - [i9]Yufan Zhuang, Zihan Wang, Fangbo Tao, Jingbo Shang:
Waveformer: Linear-Time Attention with Forward and Backward Wavelet Transform. CoRR abs/2210.01989 (2022) - 2021
- [c7]Zihan Wang, Chengyu Dong, Jingbo Shang:
"Average" Approximates "First Principal Component"? An Empirical Analysis on Representations from Neural Language Models. EMNLP (1) 2021: 5594-5603 - [c6]Xiaotao Gu, Zihan Wang, Zhenyu Bi, Yu Meng, Liyuan Liu, Jiawei Han, Jingbo Shang:
UCPhrase: Unsupervised Context-aware Quality Phrase Tagging. KDD 2021: 478-486 - [c5]Zihan Wang, Dheeraj Mekala, Jingbo Shang:
X-Class: Text Classification with Extremely Weak Supervision. NAACL-HLT 2021: 3043-3053 - [i8]Zihan Wang, Chengyu Dong, Jingbo Shang:
"Average" Approximates "First Principal Component"? An Empirical Analysis on Representations from Neural Language Models. CoRR abs/2104.08673 (2021) - [i7]Xiaotao Gu, Zihan Wang, Zhenyu Bi, Yu Meng, Liyuan Liu, Jiawei Han, Jingbo Shang:
UCPhrase: Unsupervised Context-aware Quality Phrase Tagging. CoRR abs/2105.14078 (2021) - 2020
- [j1]Yu Meng, Jiaxin Huang, Guangyuan Wang, Zihan Wang, Chao Zhang, Jiawei Han:
Unsupervised Word Embedding Learning by Incorporating Local and Global Contexts. Frontiers Big Data 3: 9 (2020) - [c4]Zihan Wang, Karthikeyan K, Stephen Mayhew, Dan Roth:
Extending Multilingual BERT to Low-Resource Languages. EMNLP (Findings) 2020: 2649-2656 - [c3]Karthikeyan K, Zihan Wang, Stephen Mayhew, Dan Roth:
Cross-Lingual Ability of Multilingual BERT: An Empirical Study. ICLR 2020 - [c2]Yu Meng
Discriminative Topic Mining via Category-Name Guided Text Embedding. WWW 2020: 2121-2132 - [i6]Zihan Wang, Karthikeyan K, Stephen Mayhew, Dan Roth:
Extending Multilingual BERT to Low-Resource Languages. CoRR abs/2004.13640 (2020) - [i5]Zihan Wang, Dheeraj Mekala, Jingbo Shang:
X-Class: Text Classification with Extremely Weak Supervision. CoRR abs/2010.12794 (2020)
2010 – 2019
- 2019
- [c1]Zihan Wang, Jingbo Shang, Liyuan Liu, Lihao Lu, Jiacheng Liu, Jiawei Han:
CrossWeigh: Training Named Entity Tagger from Imperfect Annotations. EMNLP/IJCNLP (1) 2019: 5153-5162 - [i4]Liyuan Liu, Zihan Wang, Jingbo Shang, Dandong Yin, Heng Ji, Xiang Ren, Shaowen Wang, Jiawei Han:
Raw-to-End Name Entity Recognition in Social Media. CoRR abs/1908.05344 (2019) - [i3]Yu Meng, Jiaxin Huang, Guangyuan Wang, Zihan Wang, Chao Zhang, Jiawei Han:
CatE: Category-Name GuidedWord Embedding. CoRR abs/1908.07162 (2019) - [i2]Zihan Wang, Jingbo Shang, Liyuan Liu, Lihao Lu, Jiacheng Liu, Jiawei Han:
CrossWeigh: Training Named Entity Tagger from Imperfect Annotations. CoRR abs/1909.01441 (2019) - [i1]Karthikeyan K, Zihan Wang, Stephen Mayhew, Dan Roth:
Cross-Lingual Ability of Multilingual BERT: An Empirical Study. CoRR abs/1912.07840 (2019)
Coauthor Index
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last updated on 2024-10-25 21:15 CEST by the dblp team
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